Connect every ad channel, customer journey, and sale.
See what deserves credit, understand why, and know where to spend next.
One revenue picture. Every credit explained, step by step. Every gap visible.
MetaNot connected yet
Google AdsAd spend
HubSpotLeads
StripePaymentsBring ad spend, customer activity, and orders into one revenue view without losing where each number came from.
Compare platform-reported results with Weive attribution so duplicate claims never distort the decision.
Spend comes from the connected account. weive credit is the model’s split, and a missing source is not zero.
Ask what is working, what is wasting budget, and what needs attention. Every answer links back to the evidence.
Illustrative figures. Your workspace uses your connected data and chosen attribution model.
Spend. Journeys. Customers. Revenue.
Your marketing and business data, connectedMetaGoogle AdsHubSpotStripeWhen every platform claims the same sale, Weive connects the journey to the revenue and shows exactly what each conclusion is based on.
Illustrative evidence view
Compare every claim against the same customers, orders, and date range.
Open any result to see the customer journey, source data, and rule that assigned credit.
Know whether to scale, cut, reconnect a source, or test another attribution view.
Compare what ad platforms report, what your customer and order data confirms, and how your chosen model shares credit.
Platform reportedClaimMeta’s attribution perspective
Source matchedDerivedOrder values matched under a stated rule
A separate modeled perspective
Platform reports use their own attribution rules and windows. Two platforms can claim the same order.
A matched result has a source and a rule. Trace it to the records, and read it within its coverage.
A model can offer another perspective. Its assumptions stay explicit, and its result stays separate from observed records.
See the customer journey, connected records, and attribution rule behind every credited conversion.
Weive flags missing sources and incomplete coverage before they quietly distort performance.
Every result shows its source, method, and coverage, so you can act on the signal without overlooking the gaps.
$25,000 is the spend returned by the connected ad accounts in this example. The missing source remains excluded and visible.
Track attributed revenue beside spend while keeping the date range, connected sources, and missing data in view.
Matched revenue is derived. Known spend excludes the unavailable source. Modeled revenue is kept separate.
| Through date | Matched revenue | Known spend |
|---|---|---|
| 04 September | $6,000 | $3,000 |
| 08 September | $11,000 | $7,000 |
| 12 September | $19,000 | $10,000 |
| 16 September | $26,000 | $14,000 |
| 20 September | $35,000 | $17,000 |
| 25 September | $41,000 | $21,000 |
| 30 September | $48,000 | $25,000 |
Meta$12,000Google Ads$13,000$25,000 of known spend. A missing source remains a gap, not a zero.
Weive turns live attribution data into direct answers about performance, wasted spend, customer journeys, and gaps that need attention.
The connected records show $48,000 in source-matched revenue and $25,000 in known ad spend. Their ratio is 1.92×, within that scope. An additional spend source is unavailable, so this is not a complete return comparison.
Record matching does not establish causation. Modeled revenue is excluded.
Example conversation. In the product, answers use connected accounts and the model.
Turn attribution results into a clear answer without losing the source or calculation.
Surface missing records, stale connections, and incomplete periods before they affect the budget.
Create a performance brief grounded in current data, with the limits clearly stated.
Make budget decisions with the real limits of your data in view.
Missing sources, incomplete periods, and unavailable values stay visible. A true zero means a valid result within a defined scope.
Trace every attributed result back to the journey, rule, and source behind it.
Keep source records, calculations, and assumptions distinct. Let the evidence set the strength of the conclusion.
Weive turns raw marketing records into an attribution view your whole team can understand and challenge.
Bring ad platforms, CRM activity, and revenue together while preserving the original source.
Matched resultDerivedOrder records + matching rule
Use first touch, last touch, linear, time decay, or your own rules, then see how the answer changes.
Scale what earns credit, investigate what is unclear, and never treat missing data as performance.
Built for the decisions behind the budget.See which channels and campaigns deserve more budget. See which need scrutiny.
Give clients a clear, defensible view of performance with every assumption visible.
Understand where growth is coming from without getting lost in platform dashboards.
See how teams use connected evidence to resolve conflicting reports and make the next budget decision.
Case studyWhen reports disagree, trace the sale through the journey before scaling the campaign.
Case studyGive clients a performance view that makes missing sources and incomplete coverage impossible to miss.
We will publish customer outcomes only when the customer has approved the quote and the result can be attributed honestly.
Verified customer stories coming soonWeive connects ad activity to customer journeys and confirmed conversions, then applies the attribution model you choose. Every result keeps its source, date range, method, and coverage attached.
Weive marks the result as incomplete and keeps the missing value visible. An unknown result is never presented as zero.
Yes. Compare first touch, last touch, linear, time decay, and custom models against the same journeys and verified revenue.
No. Attribution explains how revenue credit is assigned. Weive keeps that distinction clear so credit is not mistaken for causal lift.
No. They are illustrative figures used to demonstrate the product. Live workspaces use each customer’s connected accounts and conversion data.
Use Weive’s evidence layer from the AI tools your team already works in, from the terminal to the editor.
Aider
GooseEcosystem preview. Tool logos identify their respective products; weive connections are not demonstrated in this preview.
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